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Poster
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Wed 9:00
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Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman · Brenden Lake
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Poster
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Mon 1:00
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MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek
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Poster
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Thu 1:00
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Incremental few-shot learning via vector quantization in deep embedded space
Kuilin Chen · Chi-Guhn Lee
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Workshop
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Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
Daniel Reusche · Nicolás Della Penna
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Poster
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Tue 17:00
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Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Zhipeng Bao · Yu-Xiong Wang · Martial Hebert
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Poster
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Wed 9:00
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Theoretical bounds on estimation error for meta-learning
James Lucas · Mengye Ren · Irene Raissa KAMENI KAMENI · Toniann Pitassi · Richard Zemel
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Poster
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Wed 9:00
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Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba · Josif Grabocka
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Poster
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Tue 1:00
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Class Normalization for (Continual)? Generalized Zero-Shot Learning
Ivan Skorokhodov · Mohamed Elhoseiny
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Poster
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Thu 9:00
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Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake Snell · Richard Zemel
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Poster
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Mon 17:00
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Zero-shot Synthesis with Group-Supervised Learning
Yunhao Ge · Sami Abu-El-Haija · Gan Xin · Laurent Itti
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Poster
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Tue 1:00
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BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh · Hyungjun Yoo · ChangHwan Kim · Se-Young Yun
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Spotlight
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Mon 19:45
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Structured Prediction as Translation between Augmented Natural Languages
Giovanni Paolini · Ben Athiwaratkun · Jason Krone · Jie Ma · Alessandro Achille · RISHITA ANUBHAI · Cicero Nogueira dos Santos · Bing Xiang · Stefano Soatto
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